Creates accurate 3D body models from just two customer photos (front and side views) using computer vision algorithms.
Simulates how different fabrics and clothing items drape, stretch, and fit on individual body shapes in real-time.
Analyzes body measurements against garment specifications to provide tailored sizing advice and fit predictions.
Collects and analyzes anonymized body measurement data to provide retailers with insights into their customer base.
Provides APIs and SDKs that integrate directly with major e-commerce platforms and custom retail websites.
Delivers full virtual try-on functionality through mobile browsers and native apps with optimized performance.
Fashion retailers integrate Metail's virtual try-on to help customers make better sizing decisions before purchase. By allowing shoppers to see how garments fit their specific body shape, retailers can significantly reduce return rates caused by poor fit. This directly improves profitability by cutting return processing costs and increasing customer satisfaction through better first-time fit experiences.
Clothing brands use Metail's aggregated body data analytics to understand their actual customer demographics and body shapes. This data helps them optimize sizing charts across different regions and demographics, reducing fit-related complaints. Brands can also use these insights to inform product development, creating garments that better fit their target market's actual proportions.
E-commerce platforms implement Metail's mobile-optimized virtual try-on to engage smartphone shoppers. The photo-based avatar creation works seamlessly through mobile cameras, providing an interactive shopping experience that increases time on site and conversion rates. This is particularly valuable for reaching younger demographics who primarily shop via mobile devices.
Omnichannel retailers use Metail to create consistency between physical and digital shopping experiences. Customers can create their avatar online and use it for virtual try-ons, then visit stores with confidence about what sizes will fit. Retailers can also use the technology in-store via tablets to help customers visualize additional colors or styles without physically trying them on.
Eco-conscious brands leverage virtual try-on technology to promote sustainable shopping practices. By reducing returns, brands decrease their carbon footprint from reverse logistics. Additionally, better fit information helps customers make more deliberate purchases, reducing impulse buying and subsequent returns, contributing to more sustainable consumption patterns in the fashion industry.
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